1. Pilot Study on the Jaunpur Branch System, Uttar Pradesh Water Sector Restructuring Project (Dr. Chandrashekhar Biradar, Oklahoma State University Winston Yu and Anju Gaur, World Bank) Objective: To quantify the extent of agriculture intensification and expansion in our project area (300,000 ha) Data: MODIS (2000-2011) Procedure: Three vegetation indices used (EVI, NDVI and LSWI) to examine over time the cropping intensity, length of the growing season, and beginning and ending of the growing season.

3. NDVI anomalies, a deviation from long-term mean (2000-2010)

4. Cropping intensity = (Gross cropped area / Net sown area) x 100 GW Zones Net Sown AreaGross Cropped areaCropping Intensity 2004-052008-092004-052008-092004-052008-09 Head88,958108,506130,983189,472147.24174.62 Middle241,617261,778353,479434,639146.30166.03 Tail end68,97374,89590,969108,696131.89145.13 Total399,548445,178575,431732,807144.02164.61 Cropping Intensity in Jaunpur Branch before and after project interventions

7. Users can upload geo-tagged field photos, and classify photos by predefined land cover types (IGBP), and write additional information for photos. User can also download photos and thematic databases (e.g., land cover types). The Field-Photo Library at the University of Oklahoma (http://www.eomf.ou.edu/photos)http://www.eomf.ou.edu/photos

8. Link geo-tagged photos with MODIS time series data for land use dynamics

9. Question: Are current global sea level rise estimates relevant to the coastal areas of Bangladesh ? Data: Landsat (2000-2009) Baseline62 cm Most impact assessments assume static coastlines